Authors:
Andreas Kerren
;
Harald Köstinger
and
Björn Zimmer
Affiliation:
Linnaeus University, Sweden
Keyword(s):
Centralities, Network Analysis, Visualization, Biological Networks, Graph Drawing, Coordinated Views.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Biomedical Visualization and Applications
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Graph Visualization
;
Spatial Data Visualization
;
Visual Data Analysis and Knowledge Discovery
;
Visual Representation and Interaction
;
Visualization Applications
Abstract:
The use of network centralities in the field of network analysis plays an important role when the relative importance of nodes within the network topology should be rated. A single network can easily be represented by the use of standard graph drawing algorithms, but not only the exploration of one centrality might be important: the comparison of two or more of them is often crucial for a better understanding. When visualizing the comparison of several network centralities, we are facing new problems of how to show them in a meaningful way. For instance, we want to be able to track all the changes of centralities in the networks as well as to display the single networks as best as possible. In the life sciences, centrality measures help scientists to understand the underlying biological processes and have been successfully applied to different biological networks. The aim of this paper is to present a novel system for the interactive visualization of biochemical networks and its cent
ralities. Researchers can focus on the exploration of the centrality values including the network structure without dealing with visual clutter or occlusions of nodes. Simultaneously, filtering based on statistical data concerning the network elements and centrality values supports this.
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